{"id":"W7115726629","doi":"10.2139/ssrn.5933074","title":"A Lifelong Intelligence Learning Framework for Adaptive Bitrate Control in Intelligent Video Transmission Systems","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Quality of experience; Lifelong learning; Transmission (telecommunications); Adaptation (eye); Reinforcement learning; Video quality; Metric (unit); Stability (learning theory)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.01870562,0.001416398,0.002163892,0.001333309,0.001128152,0.00190808,0.003955674,0.001283122,0.00002137704],"category_scores_gemma":[0.0007592009,0.001397442,0.001279258,0.001431423,0.0001947646,0.0009923283,0.0006468747,0.02360688,0.00003121758],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006931304,"about_ca_system_score_gemma":0.02500213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008168519,"about_ca_topic_score_gemma":0.0003336005,"domain_scores_codex":[0.9818525,0.003240259,0.00374134,0.002247284,0.00140304,0.007515554],"domain_scores_gemma":[0.9921044,0.002977922,0.002179871,0.001075689,0.001146454,0.0005157017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009079829,0.0004274286,0.0001065884,0.0004987827,0.0008779911,0.000036532,0.004595469,0.1599631,0.00005030708,0.5488755,0.00001377527,0.2836466],"study_design_scores_gemma":[0.0009309289,0.001789324,0.00001786954,0.006403517,0.0001798137,0.0001841381,0.007936601,0.5461797,0.0003433033,0.4326023,0.00243109,0.001001431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003907491,0.04130407,0.9482732,0.003369334,0.003141833,0.003230343,0.00001863103,0.0001056783,0.0001661337],"genre_scores_gemma":[0.9102333,0.06040717,0.02487934,0.0006360955,0.001184209,0.0005260916,0.00001257976,0.00008927152,0.002031992],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9233939,"threshold_uncertainty_score":0.9998586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120477593672066,"score_gpt":0.3299853143012952,"score_spread":0.2987805383645745,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}